End of training
Browse files- <flower_1>.safetensors +3 -0
- <vase>.safetensors +3 -0
- README.md +45 -0
- checkpoint-1000/custom_checkpoint_0.pkl +3 -0
- checkpoint-1000/model.safetensors +3 -0
- checkpoint-1000/model_1.safetensors +3 -0
- checkpoint-1000/optimizer.bin +3 -0
- checkpoint-1000/random_states_0.pkl +3 -0
- checkpoint-1000/scheduler.bin +3 -0
- checkpoint-250/custom_checkpoint_0.pkl +3 -0
- checkpoint-250/model.safetensors +3 -0
- checkpoint-250/model_1.safetensors +3 -0
- checkpoint-250/optimizer.bin +3 -0
- checkpoint-250/random_states_0.pkl +3 -0
- checkpoint-250/scheduler.bin +3 -0
- checkpoint-500/custom_checkpoint_0.pkl +3 -0
- checkpoint-500/model.safetensors +3 -0
- checkpoint-500/model_1.safetensors +3 -0
- checkpoint-500/optimizer.bin +3 -0
- checkpoint-500/random_states_0.pkl +3 -0
- checkpoint-500/scheduler.bin +3 -0
- checkpoint-750/custom_checkpoint_0.pkl +3 -0
- checkpoint-750/model.safetensors +3 -0
- checkpoint-750/model_1.safetensors +3 -0
- checkpoint-750/optimizer.bin +3 -0
- checkpoint-750/random_states_0.pkl +3 -0
- checkpoint-750/scheduler.bin +3 -0
- image_0.png +0 -0
- image_1.png +0 -0
- pytorch_custom_diffusion_weights.safetensors +3 -0
<flower_1>.safetensors
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<vase>.safetensors
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README.md
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---
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base_model: CompVis/stable-diffusion-v1-4
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library_name: diffusers
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license: creativeml-openrail-m
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inference: true
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tags:
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- text-to-image
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- diffusers
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- stable-diffusion
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- stable-diffusion-diffusers
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- custom-diffusion
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- diffusers-training
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---
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<!-- This model card has been generated automatically according to the information the training script had access to. You
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should probably proofread and complete it, then remove this comment. -->
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# Custom Diffusion - Andy9310/saved_flower_vase_model
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These are Custom Diffusion adaption weights for CompVis/stable-diffusion-v1-4. The weights were trained on None using [Custom Diffusion](https://www.cs.cmu.edu/~custom-diffusion). You can find some example images in the following.
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For more details on the training, please follow [this link](https://github.com/huggingface/diffusers/blob/main/examples/custom_diffusion).
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## Intended uses & limitations
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#### How to use
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```python
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# TODO: add an example code snippet for running this diffusion pipeline
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```
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#### Limitations and bias
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[TODO: provide examples of latent issues and potential remediations]
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## Training details
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[TODO: describe the data used to train the model]
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checkpoint-1000/custom_checkpoint_0.pkl
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image_0.png
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image_1.png
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